Mining temporal footprints from Wikipedia

Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this
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Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this paper we focus on the discovery of temporal footprints from encyclopaedic descriptions. Temporal footprints are time-line periods that are associated to the existence of specific concepts. Our approach relies on the extraction of date mentions and prediction of lower and upper bound- aries that define temporal footprints. We report on several experiments on persons’ pages from Wikipedia in order to illustrate the feasibility of the proposed methods.

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presentation 1st AHA! Workshop, COLING 2014
conclusions
■ how the methodology behaves on different
Dublin, 23/08/2014 / 25
languages? how on different sources?
■ oracle-like side-effect behaviour:
• Apple Inc. will be closed down this year
• Stanford University will be closed down in 2029
■ Future works
• mixture of normal distributions
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